{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:58:21Z","timestamp":1760057901233,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T00:00:00Z","timestamp":1741046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>Slurry transportation is an essential process in numerous industrial applications, widely studied for its efficiency in material conveyance. Despite substantial research, the impact of pipe wall roughness on critical metrics such as pressure drop, specific energy consumption (SEC), and the Nusselt number remains relatively underexplored. This study provides a detailed analysis using a three-dimensional computational model of a slurry pipeline, with a 0.0549 m diameter and 3.8 m length. The model employs an Eulerian multiphase approach coupled with the RNG k-\u03b5 turbulence model, assessing slurry concentrations Cw = 40\u201360% (by weight). Simulations were conducted at flow velocities Vm = 1\u20135 m\/s, with pipe roughness (Rh) ranging between 10 and 50 \u00b5m. Computational findings indicate that both pressure drop and SEC increase proportionally with roughness height, Vm, and Cw. Interestingly, the Nusselt number appears unaffected by roughness height, although it rises corresponds to Vm, and Cw. These insights offer a deeper understanding of slurry pipeline dynamics, informing strategies to enhance operational efficiency and performance across various industrial contexts.<\/jats:p>","DOI":"10.3390\/computation13030065","type":"journal-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T09:01:33Z","timestamp":1741078893000},"page":"65","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Computational Analysis of Pipe Roughness Influence on Slurry Flow Dynamics"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0256-9917","authenticated-orcid":false,"given":"Tanuj","family":"Joshi","sequence":"first","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, Monash University Clayton, Melbourne, VIC 3800, Australia"}]},{"given":"Om","family":"Parkash","sequence":"additional","affiliation":[{"name":"Government Industrial Training Institute, Chautala, Sirsa 125101, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8217-6314","authenticated-orcid":false,"given":"Ralph Kristoffer B.","family":"Gallegos","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of the Philippines Los Ba\u00f1os, Los Ba\u00f1os 4031, Philippines"}]},{"given":"Gopal","family":"Krishan","sequence":"additional","affiliation":[{"name":"School of Innovation, Design and Technology, Wellington Institute of Technology, Wellington 5012, New Zealand"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"23731","DOI":"10.1016\/j.ijhydene.2022.05.201","article-title":"CFD modeling for slurry flow through a horizontal pipe bend at different Prandtl number","volume":"47","author":"Joshi","year":"2022","journal-title":"Int. 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